### Table 8 Four sequences of the test were established based on the Latin square procedure

2004

"... In PAGE 5: ...able 7 .......................................................................................................................................... 33 Table8 .... ..."

### Table 1. Latin Square-based Experimental Design: Procedure used in each of the three organizations.

2001

"... In PAGE 5: ... Further, it was decided that the use of three questionnaires on varied topics would, as well as making a Latin Square design possible, also increase generalizability of the results, with respect to the range of survey questions to which the results would meaningfully apply. The Latin Square design developed is represented in Table1 . Each organization selected three researchers, and each of these researchers applied one of the depicted sequences.... In PAGE 7: ... Expert Review The first method used in evaluating the questionnaires was informal, individually-based expert review. Participating researchers each independently conducted an expert review on an assigned questionnaire (A, B, or C in Table1 ), and determined whether he/she thought each questionnaire item was problematic. The questionnaire review form was designed so that each item was accompanied by a apos;problem indicator box apos; which the researcher marked if he/she perceived a potential problem with the item, for either the interviewer or the respondent.... ..."

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### Table 2. Comparison of the accelerating procedures for the 100x100 square case. Number of iterations.

"... In PAGE 7: ...8. The results summarized in Table2 show ... ..."

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### Table 2 displays the results of the mean square error of reconstruction for different filtering procedures, which corroborates the results of the visual analysis. Parameters

"... In PAGE 2: ... Table2 - Mean Square Error of Reconstruction - Simulated Phantoms 3.3 Experimental Results with a Real Phantom Experiments were also performed with a real phantom of aluminum, under the same conditions as the simulations.... ..."

### TABLE 3 Calculated Chi-Square Statistic and (P-value) for Testing Independence of Gender and Diabetes, by State and Analysis Procedure

1997

### Table 2: Percentile deviation of the average mean squared error of chosen model from the mean squared error of the best model. Procedures A and B select the global and rst reasonable local minimizer, respectively, of the criteria. Situation 1 1000 simulations, 2 = 0:1 100 simulations, 2 = 0:01 Criterion Procedure A Procedure B Procedure A Procedure B

1995

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### Table 3: Mean square error of the MML procedure as compared to the BayesThresh method, for each of the test functions of Donoho amp; Johnstone (1994) sampled at 1024 points, with various values of root signal to noise. The simulations are based on 100 replications, with standard errors given in brackets.

1998

"... In PAGE 8: ...etween that method and several other methods is given by Abramovich et al. (1998). The simulation consisted of 100 replications at each of four noise levels for each of the four standard test functions de ned by Donoho amp; Johnstone (1994), with 2m = 1024. The results are shown in Table3 . The noise level is speci ed in terms of root signal-to-noise ratio (RSNR), the ratio of the standard deviation of the function values to the standard deviation of the noise.... ..."

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### Table 1: Distribution of patient covariates and their relationship to 30-day mortality and frequency of undergoing catheterization. Data were obtained from a cohort of 3667 elderly Medicare bene - ciaries residing in Alabama discharged with a principal diagnosis of AMI in 1990. (all ICD-9-CM codes 410 except those with a 2 in the fth position) in 1987. Their work used a generalized method of moments (GMM) instrumental variable approach (Chamberlain 1987) through a two-stage least squares procedure to estimate a treatment e ect from their data. We reexamine this question in the context of our framework using a data set consisting of 3667 elderly Alabama residents admitted to an Alabama hospital in 1990 with a principal diagnosis of AMI. 3.1 Data description

1995

"... In PAGE 9: ...2. Table1 shows the distribution of patient covariates and their relationship with 30-day mortality and frequency of undergoing car- diac catheterization. Approximately 32% of the sample underwent a cardiac catheterization, with younger patients having more frequent use of the procedure.... ..."

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### Table 4: Mean square errors of the translation-invariant marginal maximum likelihood procedure, for each of the test functions of Donoho amp; Johnstone (1994) sampled at 1024 points, with various values of root signal to noise. The simulations are based on the same 100 replications as in Table 3, with standard errors given in brackets.

1998

"... In PAGE 10: ... A simulation study was carried out using exactly the same random realizations as for the simulation above. The results are shown in Table4 . The improvements in mean integrated square error over the xed basis MML method are substantial, typically around 40%.... ..."

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### Table 2. Chi-square test results of scaled, N = 500 CAs. These were created from the corre- sponding co-evolved, N = 50 CAs by duplicating the evolved grid ten times. 20 random sequences were generated by each CA, 10 by procedure (a) and 10 by procedure (b); chi-square test results are shown, along with the percentage of sequences passing the test. The other tests were also conducted, obtaining similar results to the original, non-scaled CAs. % success Chi-square test results

1996

"... In PAGE 6: ...traightforward manner by duplicating the evolved CA 10 times, i.e., concatenating 10 identical copies of the 50-cell rules grid. Table2 shows that good randomizers can thus be obtained, demonstrating possible scalability of our system. dThe tests were conducted using a public domain software written by J.... ..."

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